Convolutional Neural Networks (CNNs) are a class of deep learning models particularly effective in handling data with a grid-like topology, such as images. They employ layers of convolutional filters to automatically and adaptively learn spatial hierarchies of features from input data. Initially developed for image recognition tasks, CNNs have found their application in various fields, including epidemiology.